SINOPEC OILFIELD-H- Stock Forecast - 20 Period Moving Average
| YIZH Stock | 0.07 0.0005 0.75% |
SINOPEC |
SINOPEC OILFIELD-H- 20 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of SINOPEC OILFIELD H on the next trading day is expected to be 0.07 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.31.Please note that although there have been many attempts to predict SINOPEC Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SINOPEC OILFIELD-H-'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SINOPEC OILFIELD-H- Stock Forecast Pattern
SINOPEC OILFIELD-H- Forecasted Value
In the context of forecasting SINOPEC OILFIELD-H-'s Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SINOPEC OILFIELD-H-'s downside and upside margins for the forecasting period are 0.0007 and 9.01, respectively. We have considered SINOPEC OILFIELD-H-'s daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of SINOPEC OILFIELD-H- stock data series using in forecasting. Note that when a statistical model is used to represent SINOPEC OILFIELD-H- stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 72.3326 |
| Bias | Arithmetic mean of the errors | -0.0045 |
| MAD | Mean absolute deviation | 0.0076 |
| MAPE | Mean absolute percentage error | 0.0991 |
| SAE | Sum of the absolute errors | 0.3102 |
Predictive Modules for SINOPEC OILFIELD-H-
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SINOPEC OILFIELD-H-. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for SINOPEC OILFIELD-H-
For every potential investor in SINOPEC, whether a beginner or expert, SINOPEC OILFIELD-H-'s price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SINOPEC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SINOPEC. Basic forecasting techniques help filter out the noise by identifying SINOPEC OILFIELD-H-'s price trends.SINOPEC OILFIELD-H- Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SINOPEC OILFIELD-H- stock to make a market-neutral strategy. Peer analysis of SINOPEC OILFIELD-H- could also be used in its relative valuation, which is a method of valuing SINOPEC OILFIELD-H- by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SINOPEC OILFIELD-H- Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SINOPEC OILFIELD-H-'s price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SINOPEC OILFIELD-H-'s current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SINOPEC OILFIELD-H- Market Strength Events
Market strength indicators help investors to evaluate how SINOPEC OILFIELD-H- stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SINOPEC OILFIELD-H- shares will generate the highest return on investment. By undertsting and applying SINOPEC OILFIELD-H- stock market strength indicators, traders can identify SINOPEC OILFIELD H entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 0.0675 | |||
| Day Typical Price | 0.0675 | |||
| Price Action Indicator | 3.0E-4 | |||
| Period Momentum Indicator | 5.0E-4 | |||
| Relative Strength Index | 50.12 |
SINOPEC OILFIELD-H- Risk Indicators
The analysis of SINOPEC OILFIELD-H-'s basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SINOPEC OILFIELD-H-'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sinopec stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 5.68 | |||
| Semi Deviation | 7.25 | |||
| Standard Deviation | 8.96 | |||
| Variance | 80.22 | |||
| Downside Variance | 83.15 | |||
| Semi Variance | 52.58 | |||
| Expected Short fall | (7.40) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Additional Tools for SINOPEC Stock Analysis
When running SINOPEC OILFIELD-H-'s price analysis, check to measure SINOPEC OILFIELD-H-'s market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SINOPEC OILFIELD-H- is operating at the current time. Most of SINOPEC OILFIELD-H-'s value examination focuses on studying past and present price action to predict the probability of SINOPEC OILFIELD-H-'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SINOPEC OILFIELD-H-'s price. Additionally, you may evaluate how the addition of SINOPEC OILFIELD-H- to your portfolios can decrease your overall portfolio volatility.